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Design of Experiments
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Design of Experiments
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List of Figures
Contents
List of Figures
1. Asserting
1.1 Introduction
1.1.1 Six Principles
1.2 Starting with an example
1.3 Least Squares Method
1.3.1 Exact resolution of an affine equation
1.3.2 Overdetermined systems
1.3.3 Measuring the quality of a model
1.4 Effects of a factor
1.5 Summary
2. Screening
2.1 Cartesian map of a DOE
2.2 Eigenvalues and eigencolumns
2.3 How to design a DOE ?
2.3.1 An optimally wrong choice
2.3.2 Several algorithms
2.3.3 Full design
2.3.4 Fractional design
2.4 Fractional design
3. Improving
3.1 Importance of assumptions
3.2 Computing uncertainties
3.2.1 Statement about uncertainties
3.2.2 Uncertainties
3.3 Response surfaces
A. Some computing tools
A.1 The main program
A.2 Reading data files
A.3 Encoding / decoding
A.4 Using collected data
A.5 Discrete design
A.6 Interactions and continuous design
A.7 Choice of a design
A.7.1 Random search
A.7.2 Directed search
Bibliography
douillet@ensait.fr
2008-03-14